Using shape memory alloys for improving automotive fan blade performance: experimental and computational fluid dynamics analysis

Abstract

In recent years, a considerable effort has been devoted towards the application of advanced techniques for turbomachinery efficient fluid dynamic control during operations. A novel strategy to dynamically modify and optimize the performance during operations takes advantage of shape memory alloys properties. Experimental and numerical analyses on a morphing polymeric blade for an automotive axial fan are presented. The blade shape change was achieved by shape memory alloys strips, thermomechanically treated, embedded in the blade and thermally activated by hot air stream flow. Measurement of fluid temperature, blade surface temperature pattern and three-dimensional shape change of the blade during activation was performed by means of an innovative image analysis technique in a purpose-built wind tunnel. Computational fluid dynamics numerical simulations were performed to study performance variations and three-dimensional fluid dynamic behavior of the fan originated from the shape memory effect.

Keywords

Axial fans cooling systems turbomachinery aerodynamics

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References

Fabian

Hirz

Krischan

. State of the art and future trends of electric drives and power electronics for automotive engineering. SAE Int J Passenger Cars Electron Electr Syst 2014; 7: 293–303.

Lin W and Sunden B. Vehicle cooling systems for reducing fuel, consumption and carbon dioxide: Literature survey. SAE paper 2010-01-1509, 2010.

Jones N, Harrison D, Chiodo J, et al. Design for automotive glass removal using active disassembly. In: SAE international body engineering conference and automotive & transportation technology conference, Paris, France, 9–11 July 2002.

Valasek

. Morphing aerospace vehicles and structures, Hoboken, NJ: John Wiley & Sons, 2012.

Strelec

Lagoudas

Khan

. Design and implementation of a shape memory alloy actuated reconfigurable airfoil. J Intell Mater Syst Struct 2003; 41: 257–273.

Barbarino

Bilgen

Ajaj

. A review of morphing aircraft. J Intell Mater Syst Struct 2011; 22: 823–877.

Senthilkumar

Jayasankar

Satisha . Development and wind tunnel evaluation of a shape memory alloy based trim tab actuator for a civil aircraft. Smart Mater Struct 2013; 22: 1–9.

Weisshaar

. Morphing aircraft systems: historical perspectives and future challenges. J Aircraft 2013; 50: 337–353.

Sofla

AYN

Meguid

Tan

. Shape morphing of aircraft wing: Status and challenges. Mater Des 2010; 31: 1284–1292.

10.

Oehler

Hartl

Lopez

. Design optimization and uncertainty analysis of SMA morphing structures. Smart Mater Struct 2012; 21: 1–16.

11.

Kuder

Arrieta

Raither

. Variable stiffness material and structural concepts for morphing applications. Prog Aerosp Sci 2013; 63: 33–55.

12.

Lachenal

Daynes

Weaver

. Review of morphing concepts and materials for wind turbine blade applications. Wind Energy 2013; 16: 283–307.

13.

Ponta

Otero

Rajana

. The adaptive-blade concept in wind-power applications. Energy Sustain Dev 2014; 22: 3–12.

14.

Lagoudas

. Shape memory alloys: Modeling and engineering applications, Texas: Springer, 2008.

15.

Rizzoni

Merlin

Casari

. Shape recovery behaviour of shape memory thin strips in cylindrical bending: Experiments and modeling. Continuum Mech Therm 2013; 25: 207–227.

16.

Microsoft. Kinect Manual, Technical Information, 2012.

17.

Gonzalez-Jorge

Riveiro

Vazquez-Fernandez

. Metrological evaluation of Microsoft Kinect and Asus Xtion sensors. Measurement 2013; 46: 1800–1806.

18.

Khoshelham

Elberink

. Accuracy and resolution of Kinect depth data for indoor mapping applications. Sensors 2012; 12: 1437–1454.

19.

Yue

Chen

. Fast 3D modeling in complex environments using a single Kinect sensor. Opt Lasers Eng 2014; 53: 104–111.

20.

Cornelius

Biesinger

Galpin

. Experimental and computational analysis of a multistage axial compressor including stall prediction by steady and transient CFD methods. J Turbomach 2014; 136: 061013–061013.